AI-powered copywriting system

Launching a new product at an international organic food brand means generating copy across multiple languages and channels while staying compliant with food labeling and green claims regulations.

Before a single word is written, the marketer has to gather all relevant data points -- benefits, interesting ingredients, cultural backgrounds -- often by interviewing the product development team. That copy then needs to work across the official product pages, social media, product sheets, and exposition catalogs, each with its own length and style requirements.

What the system does

Introduced an AI-based system for systematic product briefing and copy generation, built around four capabilities:

• Structured data collection -- gathers all data points that need to go into the product copy, with priorities, before writing begins
• Completeness check -- reviews human-written copy to verify that all required data points are actually covered
• Preliminary compliance check -- flags potential issues with food regulations, labeling requirements, and green claims before the copy reaches the QM department
• Text resizing -- cuts approved copy into the many size and format variants needed across channels

Built on the command line

The workflow runs in the terminal using Claude Code. Product information briefings, generated copy, quality check results, and compliance flags are all plain Markdown files in the file system.

Nothing is locked into an AI provider's interface or proprietary format. The process stays auditable, portable, and easy to integrate into existing workflows.